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We propose here an extended attention model for sequence-to-sequence recurrent neural networks (RNNs) designed to capture (pseudo-)periods in time series.
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Datasets: PSE: http://www.pse.pl . PW: https://globalweather.tamu.edu . AQ/OLD/AEP: http://archive.ics.uci.edu . NAB: https://numenta.com
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